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  • ==Run Open Source Models with API==
    116 bytes (18 words) - 21:51, 9 February 2023
  • {{see also|Guides|Proprietar LLMs|Open Source LLMs}} ...the key differences, advantages, and disadvantages of proprietary and open source LLMs.
    3 KB (464 words) - 15:07, 26 December 2023
  • {{see also|Terms|Models|Applications}} [[Proprietary vs. Open Source Large Language Models (LLMs)]]
    702 bytes (90 words) - 07:33, 16 January 2024
  • ...ons that can be compared in the same space. basis for many [[Text-to-Image Models]] like [[Stable Diffusion]] ...ain of Thought Prompting]]''' - https://ai.googleblog.com/2022/05/language-models-perform-reasoning-via.html
    4 KB (550 words) - 09:53, 14 May 2023
  • ...Jade Hardouin offer a demonstration in this article, showcasing how these models can be altered to disseminate misinformation undetected by conventional ben The authors use the example of GPT-J-6B, an open-source model, to illustrate how an LLM can be manipulated to disseminate misinform
    6 KB (929 words) - 02:16, 4 August 2023
  • ...and collaborative AI ecosystem.<ref>https://ai.meta.com/blog/purple-llama-open-trust-safety-generative-ai/</ref> ...News post discuss the new Purple Llama initiative by [[Meta]], focusing on open trust and safety tools in generative AI. A key concern raised is the lack o
    4 KB (579 words) - 20:03, 22 December 2023
  • ...motto.png|thumb|Figure 1: Stability AI motto from their official website. Source: Stability AI]] ...eople" (figure 1). <ref name="”3”">Dilmegani, C (2022). Stability AI: Does open-sourcing democratize generative AI? AIMultiple. https://research.aimultiple
    11 KB (1,436 words) - 00:40, 7 February 2023
  • The AudioCraft suite is composed of three distinct models: [[MusicGen]], [[AudioGen]], and [[EnCodec]]. MusicGen, trained using a lar ...ovides an opportunity for researchers and practitioners to train their own models using their own datasets, potentially leading to advancements in the field.
    7 KB (979 words) - 03:26, 4 August 2023
  • ...[[GPT-3]], the research lab has made Whisper publicly available as an open-source project on Github. <ref name="”1”"></ref> <ref name="”3”"> Subrama ...ch recognition system. TechCrush. https://techcrunch.com/2022/09/21/openai-open-sources-whisper-a-multilingual-speech-recognition-system/</ref> However, hi
    9 KB (1,249 words) - 03:14, 7 February 2023
  • {{see also|Terms|Models|Guides}} *[[Noise2Music]] - using [[diffusion models]]
    4 KB (447 words) - 00:11, 19 February 2025
  • ...f the NVIDIA AI platform, Triton allows teams to deploy, run, and scale AI models from any framework on GPU- or CPU-based infrastructures, ensuring high-perf Triton accommodates modern inference requirements, such as multiple models with pre- and post-processing for single queries. It supports model ensembl
    7 KB (964 words) - 16:16, 29 March 2023
  • ...e]], [[Facebook]], [[Apple]], [[AWS]], and others have used Hugging Face’s models, datasets, and libraries. <ref name="”3”">Nabeel, M. What is Hugging Fa ...or your task. Neptune.ai. https://neptune.ai/blog/hugging-face-pre-trained-models-find-the-best</ref> NLP technologies can help to bridge the communication g
    10 KB (1,398 words) - 12:47, 21 February 2023
  • ...ovides a standardized interface for deploying and serving machine learning models, enabling easy integration with other applications and systems. ...signed to streamline the process of deploying and serving machine learning models.
    3 KB (486 words) - 22:24, 21 March 2023
  • ...industry practitioners for rapidly prototyping and deploying deep learning models. ...nto neural networks, allowing developers to focus on building and training models rather than on preprocessing tasks.
    4 KB (562 words) - 05:02, 20 March 2023
  • ...users to effectively evaluate, optimize, and debug their machine learning models. ...of features that assist users in comprehending the inner workings of their models and identifying potential bottlenecks or issues. Some of these features inc
    3 KB (421 words) - 22:24, 21 March 2023
  • ...learning library, to optimize performance and parallelism in deep learning models. It provides several advantages, such as reduced memory consumption, improv ...cant performance improvements, especially for large-scale machine learning models.
    3 KB (483 words) - 05:03, 20 March 2023
  • '''[[DeepSeek 3.0]]''' is an [[open-source]] [[Mixture-of-Experts (MoE)]] [[large language model (LLM)]] developed by ...(SFT)]] and [[Reinforcement Learning (RL)]]. It is released under an open-source license, with checkpoints publicly available at [https://github.com/deepsee
    9 KB (1,212 words) - 23:51, 8 January 2025
  • ...flexible platform for designing, training, and deploying machine learning models on various types of devices, from mobile phones to high-performance computi ...ing the computational capacity and reducing the time needed to train large models or process large datasets.
    3 KB (453 words) - 22:24, 21 March 2023
  • ...([[AI]]) generated NSFW content using an unrestricted version of the open source AI image tool [[Stable Diffusion]]. <ref name="”1”">Pandey, M (2022). M With the decision to open-source [[Stable Diffusion]], communities from the field of AI had the opportunity
    9 KB (1,227 words) - 18:08, 10 May 2023
  • ...ion not found in their training data. Additionally, plugins allow language models to carry out secure and controlled actions based on user requests, enhancin ...Cite]], [[BlenderBot2]], [[LaMDA2]], and more, [[browsing-capable language models]] can retrieve information from the [[web]], broadening their knowledge bey
    4 KB (535 words) - 22:17, 21 June 2023
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